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World Congress on Neural Networks

Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its;

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Proceedings of the 1995 World Congress on Neural Networks

Centered around major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its;

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Introduction to Neural Networks for Java, Second Edition

"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book;

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Recent Advances in Artificial Neural Networks

collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural;

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Methods For Decision Making In An Uncertain Environment - Proceedings Of The Xvii Sigef Congress

This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other;

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Neural Networks with R

in neural networks with R, to implement them in your applications * Build smart systems using the power of deep learning * Real-world case studies;

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Focus on Artificial Neural Networks

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;

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Credit Rating Modelling by Neural Networks

This book presents the modelling possibilities of neural networks on a complex real-world problem, i.e. credit rating process modelling;

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Advanced Deep Learning with Python

behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular;

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Neural Networks for Complete Beginners

architecture of an artificial neural network. The various types of artificial neural networks based on their architecture are also discussed. The book;

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Neural Network Programming with Java

makes neural networks behave in the same manner as the brain of human beings. This process is discussed in this book. You are also guided on how;

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Recent Advances in Artificial Neural Networks

valuable to anyone interested in applying neural networks to real-world problems;

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Neural Information Processing

The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing;

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Neural Network Programming with Python

This book is a guide on how to implement a neural network in the Python programming language. It begins by giving you a brief overview;

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Advanced Models of Neural Networks

This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by;

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Introduction to Neural Networks for C#, 2nd Edition

This resource introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Training techniques, such as;

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Artificial Neural Networks

-layered learning network based on simple math rules. The structure of an artificial neural network consists of an input layer, an output layer and;

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Artificial Intelligence for Humans, Volume 3

of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation;

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Circuit Complexity and Neural Networks

Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large;

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Evolutionary Algorithms and Neural Networks

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At;

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New Developments In Artificial Neural Networks Research

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include a;

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Deep Neural Networks and Applications

to main neural networks (MNN). The book throws light on the prospect of artificial intelligence and the applications it has in risk;

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Complex-valued Neural Networks

-ever book on complex-valued neural networks, the most active scientists at the forefront of the field describe theories and applications from;

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Engineering Applications of Neural Networks

This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN;

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Complex-Valued Neural Networks with Multi-Valued Neurons

become even more remarkable when this neuron is used as a basic one in neural networks. The Multilayer Neural Network based on Multi-Valued;

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Spatially Explicit Hyperparameter Optimization for Neural Networks

depends on the parameter setting for a given dataset. Meanwhile, adjusting the parameter configuration of neural networks will increase the;

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